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Signatured Deep Fictitious Play for Mean Field Games with Common Noise

Signatured Deep Fictitious Play for Mean Field Games with Common Noise

6 June 2021
Ming Min
Ruimeng Hu
ArXiv (abs)PDFHTML

Papers citing "Signatured Deep Fictitious Play for Mean Field Games with Common Noise"

18 / 18 papers shown
Title
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
A Policy Gradient Framework for Stochastic Optimal Control Problems with Global Convergence Guarantee
Mo Zhou
Jian-Xiong Lu
91
10
0
11 Feb 2023
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
298
30,152
0
01 Mar 2022
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep
  Learning Algorithm
Optimal Policies for a Pandemic: A Stochastic Game Approach and a Deep Learning Algorithm
Yao Xuan
R. Balkin
Jiequn Han
Ruimeng Hu
Héctor D. Ceniceros
69
9
0
12 Dec 2020
Convolutional Signature for Sequential Data
Convolutional Signature for Sequential Data
Ming Min
Tomoyuki Ichiba
62
3
0
14 Sep 2020
Convergence of Deep Fictitious Play for Stochastic Differential Games
Convergence of Deep Fictitious Play for Stochastic Differential Games
Jiequn Han
Ruimeng Hu
Jihao Long
62
20
0
12 Aug 2020
Fictitious Play for Mean Field Games: Continuous Time Analysis and
  Applications
Fictitious Play for Mean Field Games: Continuous Time Analysis and Applications
Sarah Perrin
Julien Perolat
Mathieu Laurière
Matthieu Geist
Romuald Elie
Olivier Pietquin
80
121
0
05 Jul 2020
Unified Reinforcement Q-Learning for Mean Field Game and Control
  Problems
Unified Reinforcement Q-Learning for Mean Field Game and Control Problems
Andrea Angiuli
J. Fouque
Mathieu Laurière
127
73
0
24 Jun 2020
Signatory: differentiable computations of the signature and logsignature
  transforms, on both CPU and GPU
Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU
Patrick Kidger
Terry Lyons
97
84
0
03 Jan 2020
A Machine Learning Framework for Solving High-Dimensional Mean Field
  Game and Mean Field Control Problems
A Machine Learning Framework for Solving High-Dimensional Mean Field Game and Mean Field Control Problems
Lars Ruthotto
Stanley Osher
Wuchen Li
L. Nurbekyan
Samy Wu Fung
AI4CE
152
220
0
04 Dec 2019
Deep Fictitious Play for Finding Markovian Nash Equilibrium in
  Multi-Agent Games
Deep Fictitious Play for Finding Markovian Nash Equilibrium in Multi-Agent Games
Jiequn Han
Ruimeng Hu
59
44
0
04 Dec 2019
Convergence Analysis of Machine Learning Algorithms for the Numerical
  Solution of Mean Field Control and Games: II -- The Finite Horizon Case
Convergence Analysis of Machine Learning Algorithms for the Numerical Solution of Mean Field Control and Games: II -- The Finite Horizon Case
René Carmona
Mathieu Laurière
72
99
0
05 Aug 2019
On the Convergence of Model Free Learning in Mean Field Games
On the Convergence of Model Free Learning in Mean Field Games
Romuald Elie
Julien Pérolat
Mathieu Laurière
Matthieu Geist
Olivier Pietquin
96
93
0
04 Jul 2019
Reinforcement Learning for Mean Field Game
Reinforcement Learning for Mean Field Game
Mridul Agarwal
Vaneet Aggarwal
A. Ghosh
Nilay Tiwari
99
14
0
30 May 2019
Deep Signature Transforms
Deep Signature Transforms
Patrick Kidger
Patrick Kidger
Imanol Perez Arribas
C. Salvi
Terry Lyons
SLR
157
131
0
21 May 2019
Deep Fictitious Play for Stochastic Differential Games
Deep Fictitious Play for Stochastic Differential Games
Ruimeng Hu
93
29
0
22 Mar 2019
Signature moments to characterize laws of stochastic processes
Signature moments to characterize laws of stochastic processes
I. Chevyrev
Harald Oberhauser
403
112
0
25 Oct 2018
Deep Learning Approximation for Stochastic Control Problems
Deep Learning Approximation for Stochastic Control Problems
Jiequn Han
E. Weinan
BDL
63
197
0
02 Nov 2016
Kernels for sequentially ordered data
Kernels for sequentially ordered data
Franz J. Király
Harald Oberhauser
393
137
0
29 Jan 2016
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